Pearson
Programming Generative AI: Unit 2

Discover new skills with $120 off courses from industry experts. Save now.

Pearson

Programming Generative AI: Unit 2

Pearson

Instructor: Pearson

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

8 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

8 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand and implement core generative AI models for images and text, including autoencoders, diffusion models, and transformers.

  • Gain practical experience with leading deep learning frameworks such as PyTorch and Hugging Face libraries.

  • Learn to represent, generate, and manipulate images and text using state-of-the-art neural network architectures.

  • Apply advanced generative techniques for tasks like image enhancement, translation, and natural language inference.

Details to know

Shareable certificate

Add to your LinkedIn profile

Recently updated!

August 2025

Assessments

3 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

 logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Build your subject-matter expertise

This course is part of the Programming Generative AI Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There is 1 module in this course

This module explores how generative models process and create images and text. Learners will understand image representation, convolutional neural networks, and autoencoders, progressing to variational autoencoders for probabilistic image generation. The module introduces diffusion models and practical image generation using Hugging Face’s diffusers library, including advanced tasks like interpolation and restoration. Shifting to text, it covers natural language processing pipelines, word embeddings, and the transformer architecture, culminating in hands-on experience with large language models using the Hugging Face Transformers library. By the end, students gain both theoretical knowledge and practical skills in multimodal generative AI.

What's included

44 videos3 assignments

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Pearson
Pearson
230 Courses2,258 learners

Offered by

Pearson

Explore more from Software Development

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Coursera Plus

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions